智能机器人视觉中的人脸识别研究

Research of Face Recognition in the Vision of Intelligent Robot

通过对智能机器人视觉中的人脸识别过程进行研究,提出了采用MB-LBP纹理特征结合径向基函数作为核函数的SVM进行人脸识别,并在常见的Yale和ORL数据集上进行了多项对比实验,实验结果表明,算法能够很好的完成智能机器人视觉的人脸识别。对于光照变化较大的人脸图像,对于人类识别正确率有较大的提升,另外,通过减少迭代次数减少了人脸识别的时间复杂度。该算法对智能机器人视觉中应用人脸识别过程具有较强意义。

This article researches on the face recognition in intelligent robot~ vision. It proposes u- sing MB -LBP texture feature combined RBF kernel SVM for face recognition. Aim at validating the method, some compared experiments are done on Yale and ORL Face datasets. The results show that the method can be favorable for accomplishing the task of face recognition on intelligent robot. This method improves the accuracy of face recognition when the illumination of face changes a lot. Besides, it can reduce the time complexity by reducing the iterations of SVM. Above all, this method is of great significance in the procedure of face recognition in intelligent robot.